Evidence map›Paper›PMID 40198852›Full record

ReviewChemical reviews2025

Selectivity in Chemiresistive Gas Sensors: Strategies and Challenges.

Peresi Majura Bulemo, Dong-Ha Kim, Hamin Shin, Hee-Jin Cho, Won-Tae Koo, Seon-Jin Choi, Chungseong Park, Jaewan Ahn, Andreas T Güntner, Reginald M Penner and 1 more

Abstract readReview
In one paragraph

Review in Chemical reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed.

  1. CO and NO Detection by MNJournal of computational chemistry · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Polymorph-Specific Electronic Transduction in WOAdvanced materials (Deerfield Beach, Fla.) · 2026
    Article
  8. Article
  9. ZIF-8-based chemiresistive CORSC advances · 2026
    Article
  10. Review
  11. Sulfur vacancy-engineered FeSMikrochimica acta · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Single Cu Atom Sites on CoSmall (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Peresi Majura BulemoDepartment of Mechanical and Industrial Engineering, University of Dar es Salaam, P.O. Box 35131, Dar es Salaam, Tanzania.ORCID 0000-0003-0342-3589
Dong-Ha KimDepartment of Materials Science and Chemical Engineering, Hanyang University, Ansan 15588, Republic of Korea.
Hamin ShinDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.ORCID 0000-0001-8330-5448
Hee-Jin ChoDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
Won-Tae KooDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
Seon-Jin ChoiDivision of Materials of Science and Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea.ORCID 0000-0001-8567-0668
Chungseong ParkDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
Jaewan AhnDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.ORCID 0000-0002-0136-8427
Andreas T GüntnerHuman-Centered Sensing Laboratory, Department of Mechanical and Process Engineering, ETH Zürich, CH-8092 Zürich, Switzerland.
Reginald M PennerDepartment of Chemistry, University of California, Irvine, Irvine, California 92697-2025, United States.ORCID 0000-0003-2831-3028
Il-Doo KimDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.ORCID 0000-0002-9970-2218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The demand for highly functional chemical gas sensors has surged due to the increasing awareness of human health to monitor metabolic disorders or noncommunicable diseases, safety measures against harmful greenhouse and/or explosive gases, and determination of food freshness. Over the years of dedicated research, several types of chemiresistive gas sensors have been realized with appreciable sensitivities toward various gases. However, critical issues such as poor selectivity and sluggish response/recovery speeds continue to impede their widespread commercialization. Specifically, the mechanisms behind the selective response of some chemiresistive materials toward specific gas analytes remain unclear. In this review, we discuss state-of-the-art strategies employed to attain gas-selective chemiresistive materials, with particular emphasis on materials design, surface modification or functionalization with catalysts, defect engineering, material structure control, and integration with physical/chemical gas filtration media. The nature of material surface-gas interactions and the supporting mechanisms are elucidated, opening opportunities for optimizing the materials design, fine-tuning the gas sensing performance, and guiding the selection of the most appropriate materials for the accurate detection of specific gases. This review concludes with recommendations for future research directions and potential opportunities for further selectivity improvements.

Identifiers

PMID40198852
PMCPMC12023000

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.